Handbook of Quantitative Criminology

The Handbook of Quantitative Criminology is designed to be the authoritative volume on methodological and statistical issues in criminology and criminal justice. At a time when this field is gaining in sophistication and dealing with ever more complex empirical problems, this volume seeks to provide...

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Bibliographic Details
Contributors: Piquero, Alex R. (Editor) ; Weisburd, David (Other) ; Weisburd, David 1954-
Format: Print Book
Language:English
Published: New York, NY Heidelberg [u.a.] Springer 2010
In:Year: 2010
Online Access: Inhaltsverzeichnis (Verlag)
Kapitel 1 (Verlag)
Klappentext (Verlag)
Availability in Tübingen:Present in Tübingen.
UB: KB 20 A 4237
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Related Items:Online-Ausg.: 1650411324

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245 1 0 |a Handbook of Quantitative Criminology  |c Alex Piquero; David Weisburd (eds.) 
263 |a Erscheint: 1. November 2008 
264 1 |a New York, NY  |a Heidelberg [u.a.]  |b Springer  |c 2010 
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500 |a Literaturangaben 
505 8 0 |t Introduction  |r Alex R. Piquero and David Weisburd 
505 8 0 |t Introduction  |r Alex R. Piquero and David Weisburd 
505 8 0 |t pt. I-A. Descriptive approaches for research and policy : innovative descriptive methods for crime and justice problems ; Crime mapping : spatial and temporal challenges  |r Jerry Ratcliffe 
505 8 0 |t Look before you analyze : visualizing data in criminal justce  |r Michael D. Maltz 
505 8 0 |t Group-based trajectory modeling : an overview  |r Daniel S. Nagin 
505 8 0 |t General growth mixture analysis with antecedents and consequences of change  |r Hanno Petras and Katheryn Masyn 
505 8 0 |t Spatial regression models in criminology : modeling social processes in the spatial weights matrix  |r George E. Tita and Steven M. Radil 
505 8 0 |t Mixed method research in criminology : why not go both ways?  |r Shadd Maruna 
505 8 0 |t pt. I-B. Descriptive approaches for research and policy : new estimation techniques for assessing crime and justice policy ; Estimating the cost of crime  |r Mark A. Cohen and Roger Bowles 
505 8 0 |t Estimating treatment effects : matching quantification to the question  |r Thomas A. Loughran and Edward P. Mulvey 
505 8 0 |t Meta-analysis  |r David B. Wilson 
505 8 0 |t Social network analysis  |r Jean Marie McGloin and David S. Kirk 
505 8 0 |t Systematic social observations in criminology  |r Stephen D. Mastrofski, Roger B. Parks, and John D. McCluskey 
505 8 0 |t pt. II. New directions in assessing design, measurement and data quality ; Identifying and addressing response errors in self-report surveys  |r James P. Lynch and Lynn A. Addington 
505 8 0 |t Missing data problems in criminological research  |r Robert Brame, Michael G. Turner, and Ray Paternoster 
505 8 0 |t The life event calendar method in criminological research  |r Jennifer Roberts and Julie Horney 
505 8 0 |t Statistical power  |r Chester L. Britt and David Weisburd 
505 8 0 |t Descriptive validity and transparent reporting in randomised controlled trials  |r Amanda E. Perry 
505 8 0 |t Measurement error in criminal justice data  |r John Pepper, Carol Petrie, and Sean Sullivan 
505 8 0 |t Statistical models of life events and criminal behavior  |r D. Wayne Osgood 
505 8 0 |t pt. III-A. Estimation of impacts and outcomes of crime and justice : topics in experimental methods ; An introduction to experimental criminology  |r Lawrence W. Sherman 
505 8 0 |t Randomized block designs  |r Barak Ariel and David P. Farrington 
505 8 0 |t Construct validity : the importance of understanding the nature of the intervention under study  |r John S. Goldkamp 
505 8 0 |t Place randomized trials  |r Robert Boruch, David Weisburd, and Richard Berk 
505 8 0 |t Longitudinal-experimental studies  |r David P. Farrington, Rolf Loeber, and Brandon C. Welsh 
505 8 0 |t Multisite trials in criminal justice settings : trials and tribulations of field experiments  |r Faye S. Taxman and Anne Giuranna Rhodes 
505 8 0 |t pt. III-B. Estimation of impacts and outcomes of crime and justice : innovation in quasi-experimental design ; Propensity score matching in criminology and criminal justice  |r Robert J. Apel and Gary Sweeten 
505 8 0 |t Recent perspectives on the regression discontinuity design  |r Richard Berk 
505 8 0 |t Testing theories of criminal decision making : some empirical questions about hypothetical scenarios  |r M. Lynn Exum and Jeffrey A. Bouffard 
505 8 0 |t Instrumental variables in criminology and criminal justice  |r Shawn D. Bushway and Robert J. Apel 
505 8 0 |t pt. III-C. Estimation of impacts and outcomes of crime and justice : non-experimental approaches to explaining crime and justice outcomes ; Multilevel analysis in the study of crime and justice  |r Brian D. Johnson 
505 8 0 |t Logistic regression models for categorical outcomes variables  |r Chester L. Britt and David Weisburd 
505 8 0 |t Count models in criminology  |r John M. MacDonald and Pamela K. Lattimore 
505 8 0 |t Statistical analysis of spatial crime data  |r Wim Bernasco and Henk Elffers 
505 8 0 |t An introduction to statistical learning from a regression perspective  |r Richard Berk 
505 8 0 |t Estimating effects over time for single and multiple units  |r Laura Dugan 
505 8 0 |t Index. 
505 8 0 |t pt. I-A. Descriptive approaches for research and policy : innovative descriptive methods for crime and justice problems ; Crime mapping : spatial and temporal challenges  |r Jerry Ratcliffe 
505 8 0 |t Look before you analyze : visualizing data in criminal justce  |r Michael D. Maltz 
505 8 0 |t Group-based trajectory modeling : an overview  |r Daniel S. Nagin 
505 8 0 |t General growth mixture analysis with antecedents and consequences of change  |r Hanno Petras and Katheryn Masyn 
505 8 0 |t Spatial regression models in criminology : modeling social processes in the spatial weights matrix  |r George E. Tita and Steven M. Radil 
505 8 0 |t Mixed method research in criminology : why not go both ways?  |r Shadd Maruna 
505 8 0 |t pt. I-B. Descriptive approaches for research and policy : new estimation techniques for assessing crime and justice policy ; Estimating the cost of crime  |r Mark A. Cohen and Roger Bowles 
505 8 0 |t Estimating treatment effects : matching quantification to the question  |r Thomas A. Loughran and Edward P. Mulvey 
505 8 0 |t Meta-analysis  |r David B. Wilson 
505 8 0 |t Social network analysis  |r Jean Marie McGloin and David S. Kirk 
505 8 0 |t Systematic social observations in criminology  |r Stephen D. Mastrofski, Roger B. Parks, and John D. McCluskey 
505 8 0 |t pt. II. New directions in assessing design, measurement and data quality ; Identifying and addressing response errors in self-report surveys  |r James P. Lynch and Lynn A. Addington 
505 8 0 |t Missing data problems in criminological research  |r Robert Brame, Michael G. Turner, and Ray Paternoster 
505 8 0 |t The life event calendar method in criminological research  |r Jennifer Roberts and Julie Horney 
505 8 0 |t Statistical power  |r Chester L. Britt and David Weisburd 
505 8 0 |t Descriptive validity and transparent reporting in randomised controlled trials  |r Amanda E. Perry 
505 8 0 |t Measurement error in criminal justice data  |r John Pepper, Carol Petrie, and Sean Sullivan 
505 8 0 |t Statistical models of life events and criminal behavior  |r D. Wayne Osgood 
505 8 0 |t pt. III-A. Estimation of impacts and outcomes of crime and justice : topics in experimental methods ; An introduction to experimental criminology  |r Lawrence W. Sherman 
505 8 0 |t Randomized block designs  |r Barak Ariel and David P. Farrington 
505 8 0 |t Construct validity : the importance of understanding the nature of the intervention under study  |r John S. Goldkamp 
505 8 0 |t Place randomized trials  |r Robert Boruch, David Weisburd, and Richard Berk 
505 8 0 |t Longitudinal-experimental studies  |r David P. Farrington, Rolf Loeber, and Brandon C. Welsh 
505 8 0 |t Multisite trials in criminal justice settings : trials and tribulations of field experiments  |r Faye S. Taxman and Anne Giuranna Rhodes 
505 8 0 |t pt. III-B. Estimation of impacts and outcomes of crime and justice : innovation in quasi-experimental design ; Propensity score matching in criminology and criminal justice  |r Robert J. Apel and Gary Sweeten 
505 8 0 |t Recent perspectives on the regression discontinuity design  |r Richard Berk 
505 8 0 |t Testing theories of criminal decision making : some empirical questions about hypothetical scenarios  |r M. Lynn Exum and Jeffrey A. Bouffard 
505 8 0 |t Instrumental variables in criminology and criminal justice  |r Shawn D. Bushway and Robert J. Apel 
505 8 0 |t pt. III-C. Estimation of impacts and outcomes of crime and justice : non-experimental approaches to explaining crime and justice outcomes ; Multilevel analysis in the study of crime and justice  |r Brian D. Johnson 
505 8 0 |t Logistic regression models for categorical outcomes variables  |r Chester L. Britt and David Weisburd 
505 8 0 |t Count models in criminology  |r John M. MacDonald and Pamela K. Lattimore 
505 8 0 |t Statistical analysis of spatial crime data  |r Wim Bernasco and Henk Elffers 
505 8 0 |t An introduction to statistical learning from a regression perspective  |r Richard Berk 
505 8 0 |t Estimating effects over time for single and multiple units  |r Laura Dugan 
505 8 0 |t Index. 
520 |a The Handbook of Quantitative Criminology is designed to be the authoritative volume on methodological and statistical issues in criminology and criminal justice. At a time when this field is gaining in sophistication and dealing with ever more complex empirical problems, this volume seeks to provide readers with a clear and up to date guide to quantitative criminology. Authored by leading scholars in criminology/criminal justice, the Handbook contains 35 chapters on topics in the following key areas: (1) research design, (2) experimental methods, (3) methods for overcoming data limitations, (4) innovative descriptive methods, (5) estimation techniques for theory and policy, (6) topics in multiple regression, and (7) new directions in statistical analysis. The contributions are written to be accessible to readers with a basic background in statistics and research methods, but they also provide a cutting edge view of statistical and methodological problems and questions. This book will be the go-to book for new and advanced methods in the field that will provide overviews of the key issues, with examples and figures as warranted, for students, faculty, and researchers alike. 
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